abbottyanginchina
My name is Jiaxi Yang, final-year master student at UESTC. Research interest is Trustworthy AI, Federated Learning
The University of Electronic Science and Technology of ChinaChina
Pinned Repositories
abbottyanginchina.github.io
personal website
AME
🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.
Awesome-Federated-Unlearning
Awesome Federated Unlearning (FU) Papers (Continually Update)
BFU-Code
ContributionEvaluation_FL
Contribution Evaluation methods in Incentive Mechanism of Federated Learning
FedML-pytorch-master
A federated learning experiment platform using PyTorch
feul
Repo on unlearning in FL. FYP22002@HKUCS.
FL-master
This is a simple available code for FL based on pytorch
FL_Shapley_pytorch
Shapley value for contribution measurement of Federated Learning
FLShapley
Reproduce the paper named "Profit Allocation for Federated Learning"
abbottyanginchina's Repositories
abbottyanginchina/Awesome-Federated-Unlearning
Awesome Federated Unlearning (FU) Papers (Continually Update)
abbottyanginchina/FL_Shapley_pytorch
Shapley value for contribution measurement of Federated Learning
abbottyanginchina/BFU-Code
abbottyanginchina/FedML-pytorch-master
A federated learning experiment platform using PyTorch
abbottyanginchina/feul
Repo on unlearning in FL. FYP22002@HKUCS.
abbottyanginchina/abbottyanginchina.github.io
personal website
abbottyanginchina/AutoAlignV2
[ECCV2022] AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
abbottyanginchina/Awesome-Foundation-Models-in-Medical-Imaging
A curated list of foundation models for vision and language tasks in medical imaging
abbottyanginchina/Awesome-security-in-diffusion-models
This is a collection of awesome papers I have read (carefully or roughly) in the fields of security in diffusion models. Any suggestions and comments are welcome (2801198407@qq.com).
abbottyanginchina/bert
TensorFlow code and pre-trained models for BERT
abbottyanginchina/BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
abbottyanginchina/clash-for-linux-backup
clash for linux备份仓库
abbottyanginchina/ClassificationCelebA
classification for CelebA
abbottyanginchina/classifier-free-diffusion-guidance-Pytorch
a simple unofficial implementation of classifier-free diffusion guidance
abbottyanginchina/DatasetCondensation
Dataset Condensation Collections
abbottyanginchina/DataValuation_Papers
Literature Review for data valuation
abbottyanginchina/DataValuation_Shapley
The reproduction work of data valuation problem using Shapley value and other strategies
abbottyanginchina/Diffusion-GAN
(Pre-trained CelebA)Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
abbottyanginchina/GAN-Based-Adversarial-Attacks-Against-Malware-Detection
abbottyanginchina/GEM-GNN
The reproduction experiment code for ICML 2021(Gem GNN Explainer)
abbottyanginchina/GMValuator-System-master
System of GMValuator
abbottyanginchina/homework_software_analysis
homework code of software analysis in Prof. Niu's course
abbottyanginchina/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
abbottyanginchina/LLM-quickstart
Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) 大语言模型快速入门(理论学习与微调实战)
abbottyanginchina/LLM-Unlearning-Survey
abbottyanginchina/mufc
A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
abbottyanginchina/ProtoPNet
This code package implements ProtoPNet of paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019)
abbottyanginchina/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
abbottyanginchina/safe-rlhf
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
abbottyanginchina/transformers-code
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube